Machine Learning Jobs in Remote

140,477 open positions · Updated daily

Looking for Machine Learning jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Remote area.

Business Operations & Reporting Analyst (Supplyframe)

Company: Siemens Digital Industries Software

Location: Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Software Engineer - Data & Analytics Governance

Company: Datadog

Location: Paris, France / Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Threat Detections Engineer (Remote, AUS)

Company: CrowdStrike

Location: Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Security Detection Engineer, Insider Trust

Company: Meta

Location: Remote

Posted Jan 24, 2025

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Workers Compensation Claims Technician - West Region

Company: Liberty Mutual Insurance

Location: Las Vegas, NV / Remote

Posted Jan 24, 2025

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Lead Mainframe zSecurity Systems Administration RACF

Company: Kyndryl

Location: Oslo, Norway / Remote

Posted Jan 24, 2025

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Senior Transmission Line Engineer

Company: Leidos

Location: Remote

Posted Jan 24, 2025

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PhD Data Partner - Computer Science - US

Company: TELUS Digital

Location: Remote

Posted Jan 24, 2025

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Senior Lead, Network Services

Company: Kyndryl

Location: Alajuela, Costa Rica / Remote

Posted Jan 24, 2025

View Details Apply on The Muse
data-driven insights optimize operational performance drive sustainable growth

GTM Analytics Manager

Company: FloQast

Location: Remote

Posted Jan 24, 2025

The GTM Analytics Manager will leverage data-driven insights to inform business strategy, optimize operational performance, and drive sustainable growth. This role involves analyzing large datasets, monitoring and reporting on the effectiveness of gotomarket initiatives, and providing strategic insights to senior leadership. The ideal candidate will have 5+ years of experience in a B2B SaaS-based technology company, strong analytical skills, and expertise in Looker, Excel, Google Sheets, and Salesforce. The base pay for this position is between $95,000 and $125,000, with a competitive benefits package.

View Details Apply on BuiltIn

Regional Sales Manager (Remote, Deu)

Company: CrowdStrike

Location: Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Data Science Intern - Intelligence Automation (Remote, UK/Germany)

Company: CrowdStrike

Location: Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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